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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A decomposition-based memetic neural architecture search algorithm for univariate time series forecasting
Yifan Li, Jing Liu, Yingzhi Teng
Applied Soft Computing (2022) Vol. 130, pp. 109714-109714
Closed Access | Times Cited: 12

Showing 12 citing articles:

T-For: An Adaptable Forecasting Model for Throughput Performance
Ariel L. C. Portela, Silvio E. S. B. Ribeiro, Rafael A. Menezes, et al.
IEEE Transactions on Network and Service Management (2024) Vol. 21, Iss. 3, pp. 2791-2801
Closed Access | Times Cited: 14
Novel deterministic and probabilistic forecasting methods for crude oil price employing optimized deep learning, statistical and hybrid models
Sourav Kumar Purohit, Sibarama Panigrahi
Information Sciences (2023) Vol. 658, pp. 120021-120021
Closed Access | Times Cited: 15
Hybrid wavelet-neural network models for time series
Deniz Kenan Kılıç, Ömür Uğur
Applied Soft Computing (2023) Vol. 144, pp. 110469-110469
Open Access | Times Cited: 11
CBGA: A deep learning method for power grid communication networks service activity prediction
Shangdong Liu, Longfei Zhou, Sisi Shao, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 11, pp. 15408-15428
Open Access
Enabling An Informed Contextual Multi-Armed Bandit Framework For Stock Trading With Neuroevolution
Devroop Kar, Zimeng Lyu, Alexander G. Ororbia, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 1924-1933
Closed Access
China Crude Oil Futures Volatility Forecasting Using LSTM Model with Optimal Noise Decomposition
Wei Jiang, Wanqing Tang, Huizhi Liu, et al.
Discrete Dynamics in Nature and Society (2024) Vol. 2024, Iss. 1
Open Access
Point and interval prediction of carbon price: A novel hybrid model considering the severe volatility and the complexity
Lili Ding, Haoran Zhao, Hui Li
Research Square (Research Square) (2023)
Open Access
Based on BP neural network glass cultural relics chemical category and composition prediction model construction
Kejun Guo, Yuxuan Qiao, Zhan Gao
Highlights in Science Engineering and Technology (2023) Vol. 42, pp. 111-117
Closed Access
CBGA: A deep learning method for power grid communication networks service activity prediction
Shangdong Liu, Longfei Zhou, Sisi Shao, et al.
Research Square (Research Square) (2023)
Open Access
Irregularity Reflection for Multivariate Time Series Forecasting Using Convolutional Neural Networks
Youngjun Choo, Adrian Matias Chung Baek, Namhun Kim, et al.
(2023)
Closed Access
Novel Deterministic and Probabilistic Forecasting Methods for Crude Oil Price Employing Optimized Deep Learning, Statistical and Hybrid Models
Sourav Kumar Purohit, Sibarama Panigrahi
(2023)
Closed Access
An Ensemble Empirical Mode Decomposition-Based Convolutional Neural Network Model for Natural Gas Price Forecasting
Najmul Hasan, Yanmei Huang, Yukun Bao
(2023)
Closed Access
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